Earn Your Master of Science in Data Science Online
Cabrini University offers a Master of Science in Data Science for students looking to advance their careers in an increasingly data-driven world. In this fully online degree program, students gain essential skills that prepare them for data-focused careers such as Business Intelligence Analyst, Data Mining Analyst, IT Project Manager, and Database Administrator.
Students will use their undergraduate degrees in computer science or a related technology field as a foundation for this Master’s in Data Science degree, growing their understanding of data and data systems as they prepare to become leaders at the rapidly growing intersection of business, analytics, and technology.
Develop skills for big data innovation in a flexible online program
At Cabrini, students can get an advanced education without sacrificing other obligations. Courses are fully online and designed to fit around a working schedule, allowing students to build a network of support from peers and professors as they work to advance their education and careers.
This technology-centric program covers four distinct areas of the field, providing the diverse toolset needed to understand the complex and multi-faceted world of data. These areas include: software and programming, business and management, data warehousing, and data visualization.
M.S. in Data Science students will:
- Learn programming languages such as Python, Java, and SQL.
- Gain an understanding of Business Enterprise functions.
- Become proficient in Tableau, SAS, Hadoop, and Apache Spark.
- Demonstrate proficiency in database administration management and warehousing.
- Complete an internship or capstone project to graduate with applicable experience.
- Fully online courses designed to fit a working schedule
- 24 months on average for degree completion
- Internship or capstone project for real-world data application
- Affordable and competitive cost
- Small class sizes for extra support
- Undergraduate (baccalaureate) degree from a regionally accredited college or university with an overall grade point average of 2.75 or higher
- Undergraduate degree in computer science or related field OR coursework in object-oriented programming & database management systems
- Coursework in Statistics and linear Algebra required - MCIS 545 Mathematics for the Data Sciences - A course covering the basic math concepts focusing on Linear Algebra for data science, including what linear algebra is, what vectors and matrices are, how to work with them, and how to use them to solve problems
M.S. in Data Science Curriculum
In this 36-credit master’s program, students will take a variety of courses designed to sharpen and strengthen their understanding of business, technology, and analytics. Courses include:
- CIS 510: Introduction to Database Management
- CIS 520: Information Systems Management
- CIS 545: Mathematics for the Data Sciences
- CIS 540: Programming for the Data Sciences
- CIS 535: Data Access and Transformation
- BUS 580: Introduction to Project Management
- CIS 530: Introduction to Data Analytics for Business
- CIS 550: Data Visualization
- CIS560: Introduction to Machine Learning
- CIS 565: Natural Language Processing
- LDR 555: Finance and Budgeting for Leaders
- CIS 600: Internship/Capstone
Frequently Asked Questions
What math skills do scientists use to analyze data?
The field of data science demands a strong foundation in mathematics, with an emphasis on areas like probability and statistics, random variables, linear algebra, distributions, and Bayes' Theorem.
These skills alone, however, are not the only things that data scientists must master in order to be effective in this burgeoning field. Competency in business communication, data visualization, and more are needed to make a career move into data science .
Can I get a job in data science without a master’s and with a non-programming science degree?
Ultimately, if you have mastered the skills required of a data scientist role, then you are technically equipped to land a job. However, 39% of employers list a master’s degree in data science as a required qualification in job postings. And, that percentage is expected to grow as the field evolves and expands.
Employers are looking for these credentials and skills because the role demands a mastery of a hybrid skillset – one that includes both technical and non-technical skills. At this point, the typical job applicant offers experience in one area, but not in other critical areas. Therefore, while it is possible to develop a career in data science without a quality graduate-level education in data science, it may not be the best plan.
Is a data science degree worth the investment?
The field of data science is experiencing strong growth, according to a Burning Glass Technologies report that analyzed the marketplace for data science and analytics (DSA) skills. The report showed the demand for DSA jobs is projected to grow by 15% by 2020 – which amounts to almost 364,000 new job postings. And the fastest growing set of job openings is for Data Scientists and Advanced Analysts. They’re expected to see demand spike by 28% in the same time frame.
Meanwhile, the demand greatly outweighs the supply of qualified candidates, leading to a big data talent gap that is disrupting the industry. As a result, annual salaries in these advanced DSA roles average over $80,000, with some reaching more than $100,000. Individuals with a degree in this in-demand field can enjoy lucrative opportunities and abundant job prospects upon graduation.
Earn an in-demand degree and advance your career
Across industries, businesses rely on data to make strategic decisions. They need thought-leaders who have the technology background, data skills, and business insight to drive innovation. By earning your M.S. in Data Science at Cabrini University, you can position yourself as a big data visionary. Start your application today.